ISCA Archive Interspeech 2008
ISCA Archive Interspeech 2008

Robust speaker verification using short-time frequency with long-time window and fusion of multi-resolutions

Chien-Lin Huang, Bin Ma, Chung-Hsien Wu, Brian Mak, Haizhou Li

This study presents a novel approach of feature analysis to speaker verification. There are two main contributions in this paper. First, the feature analysis of short-time frequency with long-time window (SFLW) is a compact feature for the efficiency of speaker verification. The purpose of SFLW is to take account of short-time frequency characteristics and long-time resolution at the same time. Secondly, the fusion of multi-resolutions is used for the effectiveness of robust speaker verification. The speaker verification system can be further improved using multi-resolution features. The experimental results indicate that the proposed approaches not only speed up the processing time but also improve the performance of speaker verification.


doi: 10.21437/Interspeech.2008-502

Cite as: Huang, C.-L., Ma, B., Wu, C.-H., Mak, B., Li, H. (2008) Robust speaker verification using short-time frequency with long-time window and fusion of multi-resolutions. Proc. Interspeech 2008, 1897-1900, doi: 10.21437/Interspeech.2008-502

@inproceedings{huang08d_interspeech,
  author={Chien-Lin Huang and Bin Ma and Chung-Hsien Wu and Brian Mak and Haizhou Li},
  title={{Robust speaker verification using short-time frequency with long-time window and fusion of multi-resolutions}},
  year=2008,
  booktitle={Proc. Interspeech 2008},
  pages={1897--1900},
  doi={10.21437/Interspeech.2008-502}
}